Google’s Magenta team brought us one step closer to the robot revolution today. Using Google’s TensorFlow, an open source AI engine, the Magenta team has released the first machine-learned melody. We listened to it here at the office and we have to admit, it’s not bad. We still have a long way to go before this “Robot Rock” is better than Daft Punk.

In a blog post by the Magenta Team, Douglas Eck describes the two main goals of the project:

“First, it’s a research project to advance the state of the art in machine intelligence for music and art generation. Machine learning has already been used extensively to understand content, as in speech recognition or translation. With Magenta, we want to explore the other side—developing algorithms that can learn how to generate art and music, potentially creating compelling and artistic content on their own.

Second, Magenta is an attempt to build a community of artists, coders and machine learning researchers. The core Magenta team will build open-source infrastructure around TensorFlow for making art and music. We’ll start with audio and video support, tools for working with formats like MIDI, and platforms that help artists connect to machine learning models.”